Download Data Mining For Dummies by Meta S. Brown PDF

By Meta S. Brown

Facts mining is instantly turning into quintessential to making price and company momentum. the facility to discover unseen styles hidden within the numbers exhaustively generated by way of daily operations permits savvy decision-makers to take advantage of each device at their disposal within the pursuit of higher enterprise. by means of growing versions and checking out even if styles delay, it's attainable to find new intelligence that may switch your business's complete paradigm for a extra winning final result. facts Mining for Dummies indicates you why it does not take an information scientist to achieve this virtue, and empowers common company humans to begin shaping a approach appropriate to their business's wishes. during this publication, you are going to examine the hows and whys of mining to the depths of your info, and the way to make the case for heavier funding into facts mining functions.

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You integrate this kind of business knowledge into your analysis by using it to derive appropriate new variables for modeling. Choosing a starting point Virginia and Matt have told you about a number of factors that may be good indicators of imminent changes of property ownership. These suggestions are a result of investigations and interviews that they performed in earlier projects. Some of these factors are ✓ The owners do not live in the area. ✓ The owner is the local government. ✓ Taxes are unpaid.

Info 45 46 Part I: Getting Started with Data Mining Figure 2-28: CHAID model description. Why didn’t the second predictor, the unpaid tax variable, show up in the model? Perhaps it really isn’t a good indicator of change in property ownership. Perhaps it has some value, but the type of model you’ve chosen, or the settings you used (you left them all at the default values), were not appropriate for detecting the relationship between unpaid taxes and changes in property ownership. That’s all you know for now.

Figure 2-6: Adding a tool to select variables. Figure 2-7: Setting up variable selection. One more tool (see Figure 2-8) lets you save the variables that you have selected in a new file. The data-mining software used in this example has many of these specialized tools. For example, it has a different tool for each of the file types that it can read and each type that it can save. Not every product takes this approach; others might have a single tool that could save your choice of several types of files.

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